README

This is Hao Lin, a Lead Researcher at Infinigence. I am the maintainer and lead developer of RLinf, an open-source RL training system. My current research focuses on large-scale training systems for embodied and agentic AI. Previously, I received my PhD from Tsinghua University, where I was fortunate to be advised by Prof. Zhenhua Li and also spent a wonderful time with Prof. Tianyin Xu at UIUC. If you are interested in my research projects, please check them out below. Also, I (randomly) write some tech blogs to document my experiences. Hope they'll benefit you as well!

Recent and Selected Publications (Full List)

OSDI'26 RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation
Chao Yu, Yuanqing Wang, Zhen Guo, Hao Lin, Si Xu, Hongzhi Zang, Quanlu Zhang, Yongji Wu, Chunyang Zhu, Junhao Hu, Zixiao Huang, Mingjie Wei, Yuqing Xie, Ke Yang, Bo Dai, Zhexuan Xu, Jiakun Du, Xiangyuan Wang, Xu Fu, Letong Shi, Zhihao Liu, Kang Chen, Weilin Liu, Gang Liu, Boxun Li, Jianlei Yang, Zhi Yang, Guohao Dai, Yu Wang

Code/data

OSDI'26 DynaRL: Flexible and Dynamic Scheduling of Large-scale Reinforcement Learning Training
Yuanqing Wang, Hao Lin, Junhao Hu, Chunyang Zhu, Quanlu Zhang, Zhen Guo, Yuchen Zhang, Xu Fu, Si Xu, Bo Dai, Zixiao Huang, Chao Yu, Boxun Li, Guohao Dai, Zhi Yang, Yu Wang

EuroSys'26 STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal Planning
Zixiao Huang, Junhao Hu, Hao Lin, Chunyang Zhu, Yueran Tang, Quanlu Zhang, Zhen Guo, Zhenhua Li, Shengen Yan, Zhenhua Zhu, Guohao Dai, Yu Wang

RSS'26 RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI
Hongzhi Zang, Shu'ang Yu, Hao Lin, Tianxing Zhou, Zefang Huang, Zhen Guo, Xin Xu, Jiakai Zhou, Yuze Sheng, Shizhe Zhang, Feng Gao, Wenhao Tang, Yufeng Yue, Quanlu Zhang, Xinlei Chen, Chao Yu, Yu Wang

Code/data

RSS'26 RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models
Hongzhi Zang, Mingjie Wei, Si Xu, Yongji Wu, Zhen Guo, Yuanqing Wang, Hao Lin, Peihong Wang, Liangzhi Shi, Yuqing Xie, Zhexuan Xu, Zhihao Liu, Kang Chen, Wenhao Tang, Quanlu Zhang, Weinan Zhang, Chao Yu, Yu Wang

Code/data

MobiCom'23 Virtual Device Farms for Mobile App Testing at Scale: A Pursuit for Fidelity, Efficiency, and Accessibility Highlight Article by SIGMOBILE Mobile Computing and Communications Review (GetMobile)
Hao Lin, Jiaxing Qiu, Hongyi Wang, Zhenhua Li, Liangyi Gong, Di Gao, Yunhao Liu, Feng Qian, Zhao Zhang, Ping Yang, Tianyin Xu

Code/data Slide GetMobile Version

SIGCOMM'22 Mobile Access Bandwidth in Practice: Measurement, Analysis, and Implications
Xinlei Yang, Hao Lin, Zhenhua Li, Feng Qian, Xingyao Li, Zhiming He, Xudong Wu, Xianlong Wang, Yunhao Liu, Zhi Liao, Daqiang Hu, Tianyin Xu

Code/data Slide Talk

OSDI'22 Trinity: High-Performance Mobile Emulation through Graphics Projection
Di Gao, Hao Lin, Zhenhua Li, Chengen Huang, Yunhao Liu, Feng Qian, Liangyi Gong, and Tianyin Xu

Code/data Slide Talk

SIGCOMM'21 A Nationwide Study on Cellular Reliability: Measurement, Analysis, and Enhancements Best Student Paper
Yang Li, Hao Lin, Zhenhua Li, Yunhao Liu, Feng Qian, Liangyi Gong, Xianlong Xin, and Tianyin Xu

Code/data Slide Talk

MobiCom'20 Experience: Aging or Glitching? Why Does Android Stop Responding and What Can We Do About It?
Mingliang Li, Hao Lin, Cai Liu, Zhenhua Li, Feng Qian, Yunhao Liu, Nian Sun, and Tianyin Xu

Code/data Slide Talk